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elevenlabs_convert_project_endpoint

Convert Studio Project. Starts conversion of a Studio project and all of its chapters.

Bulk support: accepts project_ids for batched execution.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
accountNo
project_idYes
project_idsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.4/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations indicate destructiveHint=false, which is helpful, but the description does not disclose any behavioral traits beyond starting a conversion. It doesn't explain what happens to existing converted content, whether it is asynchronous, required permissions, or potential side effects. With no annotations covering behavior (only hints), the description carries a partial burden and fails to provide meaningful transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and front-loaded with the main action, but the two-sentence structure is acceptable. However, it lacks crucial detail, so while concise, that conciseness is at the expense of completeness. The bulk support note is useful but could be integrated better.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given that there is no output schema and only 3 params with 0% coverage, the description is inadequate. It doesn't mention return values, async behavior, or what 'conversion' results in. For a tool that initiates a process, the lack of any post-condition description makes it incomplete. An agent would not know what to expect after calling it.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, meaning the description must compensate for explaining parameters. The description only mentions 'project_ids' for bulk support, but does not explain 'project_id' or 'account' semantics beyond what the schema type provides. It adds minimal value, leaving the agent to infer the meaning of project_id and account. No details on format, constraints, or relationships.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states 'Convert Studio Project' and says it starts conversion of a project and its chapters, which is a specific verb+resource. However, it doesn't clearly distinguish from the sibling 'elevenlabs_convert_chapter_endpoint' except implicitly by resource. There's no explicit differentiation or mention of what conversion entails. The purpose is clear enough but lacks depth.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. There is no mention of prerequisites, context, or when not to use it. The sibling 'elevenlabs_convert_chapter_endpoint' is a direct alternative but not referenced. The 'Bulk support' note hints at a use case but doesn't provide decision guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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